code: def test_content(self):
      data = [0, 1, 2, 3, 4, 5, 6, 7, 8]
      expected = [
          [0, 1, 2, 3, 4],
          [1, 2, 3, 4, 5],
          [2, 3, 4, 5, 6],
          [3, 4, 5, 6, 7],
          [4, 5, 6, 7, 8],
      ]
  
      # set up engine
      def _train_func(engine, batch):
          self.assertListEqual(
              batch.tolist(), expected[engine.state.epoch - 1]
          )
  
      engine = Engine(_train_func)
  
      # set up testing handler
      dataset = SmartCacheDataset(
          data,
          transform=None,
          replace_rate=0.2,
          cache_num=5,
          shuffle=False,
      )
      workers = 2 if sys.platform == "linux" else 0
      data_loader = torch.utils.data.DataLoader(
          dataset,
          batch_size=5,
          num_workers=workers,
          persistent_workers=False,
      )
      SmartCacheHandler(dataset).attach(engine)
  
      engine.run(data_loader, max_epochs=5)
  
file_path: MONAI/tests/test_handler_smartcache.py
imports: from __future__ import annotations
  import sys
  import unittest
  import torch
  from ignite.engine import Engine
  from monai.data import SmartCacheDataset
  from monai.handlers import SmartCacheHandler
label_desc: Use image node_id 1 for calling the TestHandlerSmartCache obj's underlying member method code with example usage: obj.test_content() without return types